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Optimal replacement policy for safety-related multi-component multi-state systems

Xu, M, Chen, T and Yang, X (2011) Optimal replacement policy for safety-related multi-component multi-state systems Reliability Engineering and System Safety, 99 (1). 87 - 95. ISSN 0951-8320

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Abstract

This paper investigates replacement scheduling for non-repairable safety-relatedsystems (SRS) with multiple components and states. The aim is to determine the cost-minimizing time for replacing SRS while meeting the required safety. Traditionally, such scheduling decisions are made without considering the interaction between the SRS and the production system under protection, the interaction being essential to formulate the expected cost to be minimized. In this paper, the SRS is represented by a non-homogeneous continuous time Markov model, and its state distribution is evaluated with the aid of the universal generating function. Moreover, a structure function of SRS with recursive property is developed to evaluate the state distribution efficiently. These methods form the basis to derive an explicit expression of the expected system cost per unit time, and to determine the optimal time to replace the SRS. The proposed methodology is demonstrated through an illustrative example.

Item Type: Article
Additional Information: NOTICE: this is the author’s version of a work that was accepted for publication in Reliability Engineering and System Safety. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Reliability Engineering and System Safety, 99(1), March 2012, DOI 10.1016/j.ress.2011.11.010.
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Divisions: Faculty of Engineering and Physical Sciences > Chemical and Process Engineering
Depositing User: Symplectic Elements
Date Deposited: 23 May 2012 10:59
Last Modified: 23 Sep 2013 19:13
URI: http://epubs.surrey.ac.uk/id/eprint/216656

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